File size: 7,218 Bytes
94a4005 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 | #!/usr/bin/env python3
"""One small runnable end-to-end check; fixtures are synthetic, not real validation."""
import json
import pickle
import subprocess
import sys
import tempfile
from pathlib import Path
import numpy as np
from PIL import Image
from acquire import sha, safe_path
from media import mask, decode
from preprocess import se3
from validate import pt, check_inventory
HERE = Path(__file__).resolve().parent
def command(*args, succeeds=True):
p = subprocess.run([sys.executable, str(HERE / 'preprocess.py'), *map(str, args)], capture_output=True, text=True)
if (p.returncode == 0) != succeeds:
raise AssertionError(p.stdout + p.stderr)
return p
def provenance(root):
entries = [{'path': p.relative_to(root).as_posix(), 'sha256': sha(p),
'source_locator': {'file': 'SYNTHETIC_TEST_FIXTURE', 'member': p.relative_to(root).as_posix()}}
for p in sorted(root.rglob('*')) if p.is_file() and p.name != 'sources.jsonl']
(root / 'sources.jsonl').write_text(''.join(json.dumps(r) + '\n' for r in entries))
def save_pickle(path, value):
path.parent.mkdir(parents=True, exist_ok=True)
with path.open('wb') as f:
pickle.dump(value, f)
def main():
rng = np.random.default_rng(17)
with tempfile.TemporaryDirectory() as directory:
temp = Path(directory)
ego = temp / 'ego'
for split in ('train', 'val', 'test_indomain', 'test_outdomain'):
for folder in ('image', 'label'):
(ego / split / folder).mkdir(parents=True)
for i in range(2):
# One JPEG stratum and one PNG stratum exercise copy and both lossless encoders.
ext = '.jpg' if split != 'val' else '.png'
Image.fromarray(rng.integers(0, 256, (24, 32, 3), dtype=np.uint8)).save(ego / split / 'image' / f'{i}{ext}')
Image.fromarray(np.tile(np.arange(32, dtype=np.uint8) % 9, (24, 1))).save(ego / split / 'label' / f'{i}.png')
provenance(ego)
output = temp / 'ego-pilot'
command('build', '--dataset', 'EgoHOS', '--input', ego, '--out', output, '--chunk', 8)
report = json.loads((output / 'doc/validation/report.json').read_text())
assert report['all_frames_checked'] == 8
check_inventory(output, report['file_hashes'])
encoded = next((output / 'data').glob('train*/*/annotation/segment/mask.mkv'))
assert np.array_equal(next(decode(encoded, True)), mask(ego / 'train/label/0.png'))
assert (next(decode(encoded, True)) == 9).any()
# Missing human review must block full and upload before any remote call.
command('build', '--dataset', 'EgoHOS', '--input', ego, '--out', temp / 'badfull', '--phase', 'full', '--pilot', output, '--chunk', 8, succeeds=False)
command('upload', '--release', output, succeeds=False)
# A modified release fails its file inventory.
(output / 'data/unexpected.txt').write_text('modified')
try:
check_inventory(output, report['file_hashes'])
except ValueError:
pass
else:
raise AssertionError('Mutation accepted')
oak = temp / 'oak'
seq = 'A00001_0004_0001_0002/2021-01-01-00-00-00'
image = oak / 'image/stream_release_v2' / seq / 'north_east_color_10.png'
image.parent.mkdir(parents=True)
Image.fromarray(rng.integers(0, 256, (24, 32, 3), dtype=np.uint8)).save(image)
anno = oak / 'image/anno'
anno.mkdir()
info = [[seq, person, 10, 0] for person in (0, 1)]
(anno / 'seq_all.json').write_text(json.dumps(info))
for rel, value in [('split_train_val/split0/example_split_train.json', info),
('split_train_val/split0/example_split_val.json', []), ('split/split0/seq_test.json', [])]:
p = anno / rel
p.parent.mkdir(parents=True, exist_ok=True)
p.write_text(json.dumps(value))
k = np.array([[20, 0, 16], [0, 20, 12], [0, 0, 1]], np.float32)
xyz = np.column_stack((np.linspace(-.1, .1, 21), np.zeros(21), np.ones(21))).astype(np.float32)
pose = np.eye(4, dtype=np.float32)
pose[2, 3] = 1
for x in info:
key = '__'.join(map(str, x)).replace('/', '__') + '.pkl'
for folder, value in [('cam_intr', k), ('hand_j', xyz), ('obj_transf', pose), ('general_info', {'cam_extr': np.eye(4, dtype=np.float32)})]:
save_pickle(anno / folder / key, value)
obj = oak / 'image/obj/A00001.obj'
obj.parent.mkdir()
obj.write_text('mtllib absent.mtl\nv 0 0 0\nv .2 0 0\nv 0 .2 0\nusemtl default\nf 1 2 3\n')
(oak / 'acquisition.json').write_text(json.dumps({'command': 'extract', 'dataset': 'OakInk-v1', 'note': 'SYNTHETIC TEST ONLY'}))
provenance(oak)
command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', temp / 'oak-blocked', succeeds=False)
command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', temp / 'oak-rgb', '--allow-rgb-only')
out = temp / 'oak-geo'
command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', out,
'--annotations', anno, '--trust-pickle')
views = list((out / 'data').glob('*/*/metainfo.json'))
assert len(views) == 2 and any('person0' in str(p) for p in views) and any('person1' in str(p) for p in views)
for m in views:
v = m.parent
points = pt(v / 'annotation/keypoints/xyz.pt')
assert np.isnan(points[:, 0]).all() and np.array_equal(points[0, 1], xyz)
uv = pt(v / 'annotation/keypoints/uv.pt')
assert np.allclose(uv[0, 1, 0], [14, 12])
text = (v / 'annotation/object/A00001/assets/A00001.obj').read_text()
assert 'v -0.1 -0.1 0' in text
assert 'mtllib ' not in text and 'usemtl ' not in text
metadata = json.loads(m.read_text())
assert metadata['components']['object_mesh']['provenance']['source_missing_materials'] == ['absent.mtl']
# Test review records apply only to these temporary synthetic fixtures.
command('approve', '--release', out, '--reviewer', 'SYNTHETIC_TEST_ONLY')
command('upload', '--release', out, succeeds=False) # Reviewed pilot still cannot publish.
command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', temp / 'oak-full',
'--annotations', anno, '--trust-pickle', '--phase', 'full', '--pilot', out)
for bad in ('../escape', '/absolute', 'a/../../escape'):
try:
safe_path(temp, bad)
except ValueError:
pass
else:
raise AssertionError('Unsafe path accepted')
bad = np.eye(4)
bad[0, 0] = 2
try:
se3(bad, 'bad')
except ValueError:
pass
else:
raise AssertionError('Invalid SE3 accepted')
print('PASS: JPEG copy, FFV1/x264 RGB, labels, provenance, review gates, RGB-only, synthetic OakInk geometry, NaN slots, projection, mesh centering, mutation/path/SE3 rejection')
if __name__ == '__main__':
main()
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